Ga Eun Park
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- Antibiotic Resistance in Bacteria 5
-
- SARS-CoV-2 and COVID-19 Research 4
- Viral gastroenteritis research and epidemiology 2
- COVID-19 Clinical Research Studies 2
- Co-authors
- Cheol‐In Kang (10 shared papers)Kyong Ran Peck (12 shared papers)Doo Ryeon Chung (10 shared papers)Jae‐Hoon Ko (11 shared papers)Sun Young Cho (9 shared papers)Young Eun Ha (7 shared papers)Yae-Jean Kim (5 shared papers)Ji‐Man Kang (4 shared papers)
- Journals
- The Lancet (1 paper)Journal of Infection (1 paper)BMC Infectious Diseases (1 paper)Journal of Korean Medical Science (1 paper)Antibiotics (1 paper)
- Partner nations
- South KoreaGermanyUnited Kingdom
In The Last Decade
Ga Eun Park
22 papers receiving 606 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 96
- Infectious Diseases 348
- Neurology 51
- Molecular Medicine 17
- Obstetrics and Gynecology 23
Countries citing papers authored by Ga Eun Park
This map shows the geographic impact of Ga Eun Park's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ga Eun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ga Eun Park more than expected).
Fields of papers citing papers by Ga Eun Park
This network shows the impact of papers produced by Ga Eun Park. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ga Eun Park. The network helps show where Ga Eun Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Ga Eun Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 248 | |
| 2 | 2016 | 111 | |
| 3 | 2017 | 65 | |
| 4 | 2016 | 45 | |
| 5 | 2017 | 34 | |
| 6 | 2016 | 16 | |
| 7 | 2018 | 15 | |
| 8 | 2017 | 13 | |
| 9 | 2015 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 7 | |
| 13 | 2017 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2020 | 3 |
About Ga Eun Park
Ga Eun Park is a scholar working on Molecular Medicine, Infectious Diseases, Epidemiology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 624 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Infection Control and Ventilation (3 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 Clinical Research Studies (2 papers), Gastric Cancer Management and Outcomes (2 papers), Nosocomial Infections in ICU (2 papers) and Light effects on plants (1 paper). The work is most often cited by research in Modeling and Simulation (96 citations), Infectious Diseases (348 citations), Neurology (51 citations), Molecular Medicine (17 citations) and Obstetrics and Gynecology (23 citations). Ga Eun Park has collaborated with scholars based in South Korea, Germany and United Kingdom. Frequent co-authors include Cheol‐In Kang, Kyong Ran Peck, Doo Ryeon Chung, Jae‐Hoon Ko, Sun Young Cho, Young Eun Ha, Yae-Jean Kim, Ji‐Man Kang, Jae‐Hoon Song and Chi Ryang Chung. Their work appears in journals such as The Lancet, Journal of Infection, BMC Infectious Diseases, Journal of Korean Medical Science and Antibiotics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.